Master PDF RAG: Ollama, LangChain, & Streamlit Tutorial [VERSION 2]

[@uchihaerenyeager1756]

Your content is amazing! ⭐️⭐️⭐️⭐️⭐️ Thank you for all the effort you put into it-I’m so grateful I found your channel. You’ve earned my sub, and I can’t wait to see more from you!

[@tonykipkemboi]

Thank you so much for your kind words! I’m glad you find it helpful.

[@watchthemanual2774]

Saw this posted on Reddit today, hopped on my laptop right away. Very detailed, yet simply explained. Just picked up a new subscriber, thanks.

[@tonykipkemboi]

@@watchthemanual2774 thank you! Glad you found it helpful.

[@ivoryontrack]

thank you so much! had an assignment to learn how to create a rag chatbot w multiple pdfs as the data source and i came across your channel while researching. the previous tutorials you made were already helpful but i saw you were going to make an updated video and i was super excited. this was great, subscribed to you for more content in the future too. 🚀

[@tonykipkemboi]

@@ivoryontrack awesome! glad you found it helpful.

[@free_thinker4958]

Great tutorial ❤, we're looking forward for you to make tutoriels on langgraph for agentic workflows with chainlit as frontend 🎉🎉

[@tonykipkemboi]

Great suggestion!

[@ruchirahasaranga8076]

Can I ask a question using a page number?

[@JumpingStar-t9v]

Getting error while running it as below. "DLL load failed while importing onnx_copy2py_export: a dynamic link Libra (DLL) initialization routine failed. Suggest on above. Please suggest.

[@tonykipkemboi]

@JumpingStar-t9v Please try these solutions: 1. Install Microsoft Visual C++ Redistributable: - Download and install both x64 and x86 versions from Microsoft's official website: learn.microsoft.com/en-us/cpp/windows/latest-supported-vc-redist?view=msvc-170#latest-microsoft-visual-c-redistributable-version - Restart your computer after installation 2. If the error persists, try installing ONNX Runtime manually: ```bash pip uninstall onnxruntime onnxruntime-gpu pip install onnxruntime ``` If you're running on a CPU-only system: 1. Ensure you have the CPU version of ONNX Runtime: ```bash pip uninstall onnxruntime-gpu # Remove GPU version if installed pip install onnxruntime # Install CPU-only version ``` 2. You may need to modify the chunk size in the code to prevent memory issues: - Reduce `chunk_size` to 500-1000 if you experience memory problems - Increase `chunk_overlap` for better context preservation Note: The application will run slower on CPU-only systems, but it will still work effectively. I will add these tips to the README as well. Please let me know if it resolves the issue.

[@ruchirahasaranga8076]

Do not try this on windows. I wasted 4 hours on installation errors!

[@tonykipkemboi]

@@ruchirahasaranga8076 what errors are you getting exactly? It would be really helpful so I can help troubleshoot and help others who might run into the same issue.